3.8 / 5

Interview Prep

Practice interviews with AI that adapts to your target role

Useful

Privacy

Zero Cost

The Problem

Interview practice is expensive or requires willing friends

Current Solutions (Not Great)

Pramp (limited), friends (awkward), paid coaching ($100+/hr)

Who Needs This

Job seekers, career changers

Practice for your next job interview without awkward asks to friends. AI plays the interviewer for your specific role, gives feedback on each answer, and tracks your weak areas. Embarrassment-free practice, 100% private.

Honest Take

High-intent users willing to pay—job seekers are motivated and have money at stake. Pramp and interviewing.io are established but expensive. The privacy angle is real since interview answers can be embarrassing. Good potential for B2C subscription or one-time purchase. Consider partnerships with coding bootcamps or career coaches.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

Subscription

$5-29/month or $49-199/year

One-Time Purchase

$9-49 per license

Lifetime Deal

$29-99 lifetime access

Features

Key features that make this app valuable

Select role type (SWE, PM, design, behavioral)
AI asks relevant interview questions
Analyzes your answers
Suggests improvements
Tracks weak areas
Private—practice embarrassing answers safely

Build Prompt

Use this prompt with an AI assistant to start building

Build a React PWA called 'Interview Prep' using WebInfer for AI inference (privacy-focused for embarrassment-free practice). UI: setup flow asks for target role (Software Engineer, Product Manager, Designer, Data Scientist, etc.), company type (FAANG, startup, enterprise), interview type (behavioral, technical, system design, case study). Chat interface where AI plays interviewer. Use streamText for realistic conversation flow. After each answer, use generateObject to return { feedback: { strengths: string[], improvements: string[], suggestedAnswer: string, score: number }, followUpQuestion: string }. Show feedback inline or in collapsible panel. Session summary at end: overall readiness score, weak areas to practice, suggested resources. Track progress over multiple sessions (localStorage). Common question bank by role type.

Score Breakdown

Pain